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    MCP server for overseer.nvim — gives any MCP-capable coding agent running inside Neovim (Claude Code, Codex, Gemini CLI, opencode) the same visibility and control over tasks the user has: list, run, tail, restart, stop. Agent-started dev servers land in the user's own task list instead of becoming invisible orphaned processes.
    7
    72 npm
    MIT
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    An MCP server that lets AI agents list sessions, read terminal screens, type commands, and run commands (with optional waiting for exit status) in Rex terminal blocks on the local machine through the rex CLI. It exposes a single allowlisted passthrough CLI tool plus a guide tool, deliberately excluding destructive or cross-host operations.
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    333 npm
    MIT
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    Provides a Model Context Protocol server for executing AppleScript and JavaScript for Automation scripts on macOS, featuring a knowledge base of pre-defined scripts and supporting automation of macOS applications and system functions.
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    813 npm
    883
    MIT
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    Universal Docker MCP server for AI assistants (Cursor, Claude Desktop). Manage Docker containers, execute commands, query databases, and handle environment configurations — all through natural language.
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    349 npm
    MIT
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    Enables handing one self-contained job to the Claude Code CLI on the local machine and getting back its final message plus a manifest of the artifacts it produced, without letting Claude write into the user's project. Reads are limited to named directories and all writes stay in a throwaway run directory, so the user reviews the listed files and copies in only what they approve.
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    MIT
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    An MCP server that enables agents to run commands interactively in live terminal panes a user can watch and type in, and to list, create, read from, and send keys to any session, window, or pane.
    6
    MIT
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    Enables AI models to run interactive tmux terminal sessions that a human can watch and type into, with all output logged and split into searchable per-command regions so only needed lines enter context. Also guides models through unfamiliar tools by returning exit statuses and key output alongside advice on the tool being used.
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    MIT
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    Enables AI agents to interact with physical embedded target boards over a dual-CDC USB bridge using MCP tools. It exposes console reading, pattern waiting, command sending, reboot/login state machines, and in-RAM MicroPython execution while a single-owner daemon safely arbitrates access to the serial devices.
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    Apache 2.0
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    Enables execution of bash commands via MCP, allowing clients to run shell commands and set a working directory.
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    MIT
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    Enables AI agents to securely access and manage passwords from a gopass store via four tools: list, retrieve, search, and generate passwords.
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    MIT
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    Bridges Claude AI to a live Unreal Engine 5 editor session, enabling natural language control of scene inspection, modification, logging, source search, console commands, and C++ class scaffolding.
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    Enables interaction with Gradle projects through the Gradle Wrapper, allowing users to list projects and tasks, execute builds, run tests, and clean artifacts with real-time progress reporting and comprehensive error details.
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    MIT
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    Enables the execution of AppleScript and JavaScript for Automation (JXA) on macOS to control applications, system events, and shell commands. It provides native automation capabilities with a security layer that permits most operations while specifically blocking file deletion commands.
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    MIT
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    Provides LLMs with local filesystem operations (read/write files, list directories) and command execution via MCP, enabling file management and task automation within AI clients.
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    34 npm
    ISC
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    An MCP server that enables AI agents to list and run tasks defined in Taskfile.yml, useful for automated development workflows.
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    MIT
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    Enables natural language SSH server management via Claude Code, allowing users to read logs, check services, run commands, and transfer files across multiple servers.
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    MIT
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    Enables dynamic management and execution of proxy chains on a remote Linux host via SSH, allowing AI assistants to route network traffic through proxies for privacy and security testing.
    10
    MIT
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    MCP server that exposes Ansible modules to AI agents with a search-schema-check-execute workflow, enabling safe ad-hoc runs via check mode by default. It provides tools to search modules, fetch schemas, run modules, and list collections.
    5
    3
    Apache 2.0
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    Enables voice-controlled hardware to execute approved Mac actions (like opening apps and querying system status) through a secure MCP bridge.
    3
    MIT
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    MCP server that provides AI access to a local terminal, enabling command execution, directory navigation, and system operations with persistent session state.
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